Australian researchers aimed to unravel the intricacies of tissue biology's heterogeneity by creating a detailed map of the healthy human immune system. They harmonized data from over 12,000 single-cell RNA sequencing samples spanning 45 anatomical sites, culminating in a…
Austrian researchers have made strides in the field of neural interfaces, aiming to restore communication abilities in individuals with limited movement capacities. By decoding handwritten letters from non-invasive neural signals, scientists explored two classification methods:…
Could similar techniques used for steering Large Language Models (LLMs), such as Direct Preference Optimization, be repurposed for optimizing antibodies?
ABDPO, a new method for antigen-specific antibody design, treating it as a protein sequence-structure co-design problem.…
Med-Gemini, an advanced family of multimodal AI models tailored for medical applications, builds upon the robust capabilities of Gemini 1.0 and Gemini 1.5. These models excel in handling complex medical data through advanced reasoning and integration of up-to-date medical…
Does AI in healthcare perpetuate existing bias and inequities?
On one hand, proponents argue that AI has the potential to mitigate biases in healthcare by standardizing decision-making processes and reducing reliance on subjective human judgment. AI algorithms can analyze vast…
Very cool paper in Science by the Baker Lab at UW. Screening of 15M macrocycles is enabled by our AIMNet machine learning potential! #compchem Can you imagine what we can do with a 2nd generation of AIMNet2 💪🏻🦾 science.org/doi/10.1126/sc…
A novel method, One-Shot Tissue Dynamics Reconstruction from @WeizmannScience utilizes spatial proteomics data to estimate cell population dynamics from a single tissue sample, providing insights into processes like cancer progression over time. biorxiv.org/content/10.110…
Xaira, a pioneering AI drug discovery startup, has emerged onto the scene with a significant $1 billion launch announcement, signaling its readiness to revolutionize drug development. techcrunch.com/2024/04/24/xai…
A collaborative research team from National Institute for Materials Science and Tokyo University of Science has developed a revolutionary AI device that uses few-molecule reservoir computing for blood glucose prediction. The device, which utilizes the molecular vibrations of a…
Pfizer and the Research Center for Molecular Medicine of the Austrian Academy of Sciences (CeMM) have developed a new AI-driven drug discovery method. This method, which measures how hundreds of small molecules bind to thousands of different human proteins, could expedite the…
Parexel, a contract research organization (CRO), has entered into a multi-year deal with Palantir Technologies to integrate its artificial intelligence systems into Parexel’s clinical trial operations. The partnership aims to enhance the efficiency and effectiveness of clinical…
Insilico Medicine’s AI-designed drug, ISM3412, has received FDA Investigational New Drug (IND) approval. ISM3412, a small molecule inhibitor of MAT2A, is aimed at treating MTAP deleted cancers and will be tested in a Phase I study on adult subjects with locally advanced and…
😇😇 Unveiling the Quiet Revolution: Today in Healthcare AI ❤️❤️
- 📊 Insilico Medicine's AI-designed drug, ISM3412, has received FDA Investigational New Drug (IND) approval, marking a significant milestone in the integration of AI into drug discovery. 🎉
- 🔬 Pfizer in…
Researchers at Drexel University's Creativity Research Lab have developed a new AI technology that can estimate an individual's brain age using low-cost EEG scans. This technology could potentially enable early and regular screening for degenerative brain diseases.…
Investigators at Baylor College of Medicine have developed an AI system, AI-MARRVEL (AIM), to improve the diagnosis of rare genetic disorders. AIM, trained with a public database of known variants and genetic analysis, can prioritize potentially causative variants for Mendelian…
The integration of large language models (LLMs) like GPT-4 into electronic health record (EHR) systems aims to alleviate the administrative burden on clinicians, notably in managing patient messaging via online portals. A study conducted at Brigham and Women’s Hospital evaluated…
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